Nonlinear Support Vector Machines
Nonlinear Support Vector Machines is a machine learning model that extends the support vector machine framework by employing kernel functions to enable the separation of nonlinearly separable data through implicit mapping into a higher-dimensional feature space.
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47.8K
Citations
2.1K
Authors
813
Institutions
Publications per year
2017–2026
200
Parents
689
Application of support vector machines in financial time series forecasting
Francis E. H. Tay, Lijuan Cao · Omega · 2001 · 1.3K citations
Computing, Data Science, Finance +14
Cutting-plane training of structural SVMs
Thorsten Joachims, Thomas Finley, Chun-Nam Yu · Machine Learning · 2009 · 980 citations · Full text
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Max Planck Institute for Intelligent Systems, Germany
8 publications · 1.3K citations
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Centre National de la Recherche Scientifique
Paris, France
13 h-index
35 publications
2.6K citations

Shanghai Jiao Tong University
Shanghai, China
11 h-index
22 publications
1.5K citations

Central South University
Changsha, China
10 h-index
33 publications
1.4K citations

Chinese Academy of Sciences
Beijing, China
10 h-index
21 publications
442 citations

Zhejiang University
Hangzhou, China
9 h-index
17 publications
333 citations
Max Planck Institute for Biological Cybernetics
Tübingen, Germany
9 h-index
18 publications
3.1K citations

Xidian University
Xi'an, China
8 h-index
22 publications
2.5K citations
University of Wisconsin–Madison
Madison, United States
7 h-index
15 publications
4K citations
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18 publications · 993 citations
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13 publications · 1.2K citations
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12 publications · 859 citations
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11 publications · 571 citations
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7 publications · 2.8K citations
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